University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission

Andre Tättar, Elizaveta Korotkova, Mark Fishel


Abstract
This paper describes the University of Tartu’s submission to the news translation shared task of WMT19, where the core idea was to train a single multilingual system to cover several language pairs of the shared task and submit its results. We only used the constrained data from the shared task. We describe our approach and its results and discuss the technical issues we faced.
Anthology ID:
W19-5342
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
382–385
Language:
URL:
https://www.aclweb.org/anthology/W19-5342
DOI:
10.18653/v1/W19-5342
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5342.pdf